code: def test_preprocessing(self):
      env = MockDeepmindControlSuiteEnvironment()
      env = deepmind_control_lib.DeepmindControlPreprocessing(env)
  
      # Test action space conversion
      np.testing.assert_equal(
          env.action_space.low, np.full((4,), -1.0, dtype=np.float32)
      )
      np.testing.assert_equal(
          env.action_space.high, np.full((4,), 1.0, dtype=np.float32)
      )
  
      # Test observation space conversion
      np.testing.assert_equal(
          env.observation_space.low,
          np.asarray(
              [-1.0, -1.0, -5.0, -5.0, -np.inf], dtype=np.float32
          ),
      )
      np.testing.assert_equal(
          env.observation_space.high,
          np.asarray([1.0, 1.0, 5.0, 5.0, np.inf], dtype=np.float32),
      )
  
      # Test reset and step
      observation = env.reset()
      np.testing.assert_equal(
          observation, np.ones((5,), dtype=np.float32)
      )
      observation, reward, done, info = env.step(
          env.action_space.sample()
      )
      np.testing.assert_equal(
          observation, np.zeros((5,), dtype=np.float32)
      )
      self.assertEqual(reward, -1.0)
      self.assertEqual(done, True)
      self.assertEqual(info, {})
      self.assertEqual(env.game_over, True)
  
imports: import collections
  from typing import Callable, Mapping
  from unittest import mock
  from absl.testing import absltest
  from absl.testing import parameterized
  from dm_control import suite
  from dm_control.rl import control
  import dm_env
  from dm_env import specs
  from dopamine.labs.sac_from_pixels import deepmind_control_lib
  import numpy
label_desc: Use image node_id 3 for calling the DeepmindControlLibTest obj's underlying member method code with example usage: obj.test_preprocessing() without return types